Improving Query Performance in RaaS: A Framework for Reputation As a Service in Decentralized Marketplaces

Simple item page
dc.contributor.authorMukkamala, Ravi
dc.contributor.authorOlariu, Stephen
dc.contributor.authorAljohani, Meshari
dc.date.accessioned2023-12-26T18:37:19Z
dc.date.available2023-12-26T18:37:19Z
dc.date.issued2024-01-03
dc.identifier.doihttps://doi.org/10.24251/HICSS.2024.195
dc.identifier.isbn978-0-9981331-7-1
dc.identifier.otherf0ce172e-51d4-42ae-8d29-542eff519452
dc.identifier.urihttps://hdl.handle.net/10125/106572
dc.language.isoeng
dc.relation.ispartofProceedings of the 57th Hawaii International Conference on System Sciences
dc.rightsAttribution-NonCommercial-NoDerivatives 4.0 International
dc.rights.urihttps://creativecommons.org/licenses/by-nc-nd/4.0/
dc.subjectService Analytics
dc.subjectblockchain
dc.subjectdecentralized marketplace
dc.subjectperformance evaluation
dc.subjectreputation systems
dc.subjectsmart contracts
dc.titleImproving Query Performance in RaaS: A Framework for Reputation As a Service in Decentralized Marketplaces
dc.typeConference Paper
dc.type.dcmiText
dcterms.abstractWith the increasing trend toward online shopping, there is an increasing need to provide reliable reputation management systems that aid buyers and sellers in making intelligent and accurate choices. In addition to the centrally controlled systems such as Amazon.com, several decentralized marketplaces are also coming up. Blockchain technologies and the associated smart contracts are found to be suitable to build reputation management systems in decentralized marketplaces. In this paper, we provide a brief overview of RaaS, a framework to manage Reputation as a Service in decentralized marketplaces. RaaS framework has blockchains and smart contracts as its foundation to guarantee transparency and immutability of reviews. In particular, we address the performance issues faced by such blockchain-based reputation systems, and propose two schemes that address the performance challenges. We provide analytical performance predictions and verify, by extensive simulations, the accuracy of our analytical predictions. Our schemes are shown to result in more efficient query execution with enhanced block structure schemes, with an improvement of up to 81\% in query execution responses when compared to earlier work.
dcterms.extent10 pages
prism.startingpage1546

Files

Original bundle

Now showing 1 - 1 of 1
Thumbnail Image
Name:
0152.pdf
Size:
1.79 MB
Format:
Adobe Portable Document Format
Download

Collections

Service Analytics